AI Panel: Using AI Music Search in a Co-Creative Approach between Human and Machine

The panel topic was to discuss the role of AI in a co-creative approach between humans and machines. The panel participants included Bruce Anderson (APM Music), Markus Schwarzer (Cyanite), Nick Venti (PlusMusic), Philippe Guillaud (MatchTune), and Einar M. Helde (AIMS API). 

The panel raised pressing discussion points on the future of AI so we decided to publish our takeaways here. To watch the full video of the panel, scroll down to the middle of the article. Enjoy the read! 

The PMC 2022 panel focused on the topic of co-creativity. Some AI can create on their own, but co-creativity represents creativity between the human and the machine.

So it is not the sum of individual creativity, rather it is the emergence of various new forms of interactions between humans and machines. To find out all the different ways AI music search can be co-creative, let’s dive into the main takeaways from the panel:

The way someone searches for music depends on their understanding of music which can widely differ and their role in the music industry. Music supervisors, for example, use a different language to search for music than film producers.

We talked about it in detail at Synchtank blog back in May 2022. AI can solve these issues, especially with the new developments in the field.

• Similarity Search has shown that we can use complex inputs to find music. Similarity search pulls a list of songs that match a reference track. It is projected to be the primary way of searching for music in the future. 

• Free Searches – Search in full-text that allows searching for music in your own words based on natural language processing technologies. With a Free Search, you enter what comes to mind into a search bar and the AI suggests a song. This is a technology similar to DALL-E or Midjourney that returns an image based on text input.

• Music service that already knows what to do – in a further perspective, music services will emerge that recommend music depending on where you are in your role or personal development. These services will cater to all levels of search: from an amateur level that simply gives you a requested song to expert searches following an elaborate sync brief including images and videos that accompany the brief or even a stream of consciousness.

The nature of pop culture and the many factors that compile a hit from songwriting to production and elusive factors such as what is the song connected make it impossible to predict whether or not a song becomes a hit. 

• Democratization and diversity of the field – more opportunities will become available for musicians and creators, including democratized access to sync opportunities and other ways to make a livelihood from music. 

• Creativity and surprising experiences – right now AI is designed to do the same tasks at a rapid speed. We’re hoping AI will be able to perform tasks co-creatively and produce surprising experiences based on music but also other factors. As music has the ability to touch directly into people’s emotions, it has the potential to be a part of a greater narrative.

So when it comes to co-creativity from the side of enhancement of machine tagging with human tagging, personalization can be harmful to B2B. In B2B, AI mainly works with audio features without the involvement of user-generated data.